The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W20
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W20, 49–53, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W20-49-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W20, 49–53, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W20-49-2019

  15 Nov 2019

15 Nov 2019

EXAMINING MULTI-LEVEL POVERTY-CAUSING FACTORS OF FARM HOUSEHOLD

Y. W. Jiang1,2,3, Y. H. Wang1,2,3, and W. P. Qi1,2,3 Y. W. Jiang et al.
  • 1Beijing Key Laboratory of Resource Environment and Geographic Information System, Capital Normal University, Beijing 100048, China
  • 2Ministry of Education Key Laboratory of 3-Dimensional Information Acquisition and Application, Capital Normal University, Beijing 100048, China
  • 3State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China

Keywords: Poverty-causing factors, Multi-level linear model (MLM), Geo-detector

Abstract. In view of the current research on the factors of poverty at home and abroad, most of them have less background effects on scale and the mechanism. This study uses a multi-level linear regression model and a geographic detector to jointly detect the poverty influencing factors in the study area. This study mainly draws the following three conclusions: (1) There are background effects on the scale of the poverty-stricken factors in the study area, and the background effects have a great impact. (2) At different scales there are significant poverty-stricken factors. (3) Different research methods lead to differences in research results.